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[version] support transformers 449 (#6982)

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* support transformers 449

* fix mm plugin

Former-commit-id: b00b290c07beb560a5af857ce64f4ce424831a2c
This commit is contained in:
hoshi-hiyouga 2025-02-18 17:05:40 +08:00 committed by GitHub
parent 184c5d0882
commit 3fbd4848e8
7 changed files with 16 additions and 25 deletions
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6
README.md
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@ -390,7 +390,7 @@ huggingface-cli login
| ------------ | ------- | --------- |
| python | 3.9 | 3.10 |
| torch | 1.13.1 | 2.4.0 |
| transformers | 4.41.2 | 4.45.2 |
| transformers | 4.41.2 | 4.49.0 |
| datasets | 2.16.0 | 3.2.0 |
| accelerate | 0.34.0 | 1.2.1 |
| peft | 0.11.1 | 0.12.0 |
@ -399,9 +399,9 @@ huggingface-cli login
| Optional | Minimum | Recommend |
| ------------ | ------- | --------- |
| CUDA | 11.6 | 12.2 |
| deepspeed | 0.10.0 | 0.14.0 |
| deepspeed | 0.10.0 | 0.16.2 |
| bitsandbytes | 0.39.0 | 0.43.1 |
| vllm | 0.4.3 | 0.6.6 |
| vllm | 0.4.3 | 0.7.2 |
| flash-attn | 2.3.0 | 2.7.2 |
### Hardware Requirement

6
README_zh.md
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@ -392,7 +392,7 @@ huggingface-cli login
| ------------ | ------- | --------- |
| python | 3.9 | 3.10 |
| torch | 1.13.1 | 2.4.0 |
| transformers | 4.41.2 | 4.45.2 |
| transformers | 4.41.2 | 4.49.0 |
| datasets | 2.16.0 | 3.2.0 |
| accelerate | 0.34.0 | 1.2.1 |
| peft | 0.11.1 | 0.12.0 |
@ -401,9 +401,9 @@ huggingface-cli login
| 可选项 | 至少 | 推荐 |
| ------------ | ------- | --------- |
| CUDA | 11.6 | 12.2 |
| deepspeed | 0.10.0 | 0.14.0 |
| deepspeed | 0.10.0 | 0.16.2 |
| bitsandbytes | 0.39.0 | 0.43.1 |
| vllm | 0.4.3 | 0.6.6 |
| vllm | 0.4.3 | 0.7.2 |
| flash-attn | 2.3.0 | 2.7.2 |
### 硬件依赖

4
requirements.txt
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@ -1,5 +1,5 @@
transformers>=4.41.2,<=4.48.3,!=4.46.*,!=4.47.*,!=4.48.0,!=4.48.1,!=4.48.2;python_version<'3.10'
transformers>=4.41.2,<=4.48.3,!=4.46.*,!=4.47.*,!=4.48.0;python_version>='3.10'
transformers>=4.41.2,<=4.49.0,!=4.46.*,!=4.47.*,!=4.48.*;python_version<'3.10'
transformers>=4.41.2,<=4.49.0,!=4.46.*,!=4.47.*,!=4.48.0;python_version>='3.10'
datasets>=2.16.0,<=3.2.0
accelerate>=0.34.0,<=1.2.1
peft>=0.11.1,<=0.12.0

2
src/llamafactory/__init__.py
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@ -20,7 +20,7 @@ Level:
Dependency graph:
main:
transformers>=4.41.2,<=4.48.3,!=4.46.*,!=4.47.*,!=4.48.0
transformers>=4.41.2,<=4.49.0,!=4.46.*,!=4.47.*,!=4.48.0
datasets>=2.16.0,<=3.2.0
accelerate>=0.34.0,<=1.2.1
peft>=0.11.1,<=0.12.0

2
src/llamafactory/data/collator.py
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@ -187,8 +187,6 @@ class MultiModalDataCollatorForSeq2Seq(DataCollatorForSeq2Seq):
mm_inputs["cross_attention_mask"] = F.pad(cross_attention_mask, (0, 0, 0, 0, 0, seq_len - orig_len))
features.update(mm_inputs)
if isinstance(features.get("pixel_values"), list): # for pixtral inputs
features = features.data # use default_collate() instead of BatchEncoding.to()
if "image_bound" in features: # for minicpmv inputs
bsz, seq_length = features["input_ids"].shape

19
src/llamafactory/data/mm_plugin.py
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@ -380,10 +380,8 @@ class LlavaNextPlugin(BasePlugin):
num_image_tokens = 0
messages = deepcopy(messages)
mm_inputs = self._get_mm_inputs(images, videos, audios, processor)
if "image_sizes" in mm_inputs:
image_sizes = iter(mm_inputs["image_sizes"])
if "pixel_values" in mm_inputs:
image_sizes = iter(mm_inputs["image_sizes"].tolist())
height, width = get_image_size(to_numpy_array(mm_inputs["pixel_values"][0][0]))
for message in messages:
@ -439,7 +437,7 @@ class LlavaNextVideoPlugin(BasePlugin):
messages = deepcopy(messages)
mm_inputs = self._get_mm_inputs(images, videos, audios, processor)
if "pixel_values" in mm_inputs:
image_sizes = iter(mm_inputs["image_sizes"])
image_sizes = iter(mm_inputs["image_sizes"].tolist())
height, width = get_image_size(to_numpy_array(mm_inputs["pixel_values"][0][0]))
for message in messages:
content = message["content"]
@ -916,16 +914,14 @@ class PixtralPlugin(BasePlugin):
num_image_tokens = 0
messages = deepcopy(messages)
mm_inputs = self._get_mm_inputs(images, videos, audios, processor)
image_input_sizes = mm_inputs.get("image_sizes", None)
if "pixel_values" in mm_inputs:
image_sizes = iter(mm_inputs["image_sizes"].tolist())
for message in messages:
content = message["content"]
while IMAGE_PLACEHOLDER in content:
if image_input_sizes is None:
raise ValueError("Cannot get image input sizes.")
if self.expand_mm_tokens:
image_size = image_input_sizes[0][num_image_tokens]
height, width = image_size
height, width = next(image_sizes)
num_height_tokens = height // patch_size
num_width_tokens = width // patch_size
replace_tokens = [[image_token] * num_width_tokens + [image_break_token]] * num_height_tokens
@ -959,9 +955,6 @@ class PixtralPlugin(BasePlugin):
) -> Dict[str, Union[List[int], "torch.Tensor"]]:
self._validate_input(images, videos, audios)
mm_inputs = self._get_mm_inputs(images, videos, audios, processor)
if mm_inputs.get("pixel_values"):
mm_inputs["pixel_values"] = mm_inputs["pixel_values"][0]
mm_inputs.pop("image_sizes", None)
return mm_inputs

2
src/llamafactory/extras/misc.py
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@ -94,7 +94,7 @@ def check_dependencies() -> None:
r"""
Checks the version of the required packages.
"""
check_version("transformers>=4.41.2,<=4.48.3,!=4.46.0,!=4.46.1,!=4.46.2,!=4.46.3,!=4.47.0,!=4.47.1,!=4.48.0")
check_version("transformers>=4.41.2,<=4.49.0,!=4.46.0,!=4.46.1,!=4.46.2,!=4.46.3,!=4.47.0,!=4.47.1,!=4.48.0")
check_version("datasets>=2.16.0,<=3.2.0")
check_version("accelerate>=0.34.0,<=1.2.1")
check_version("peft>=0.11.1,<=0.12.0")